Global Artificial Intelligence in Cybersecurity Market Research Report 2019

Dublin, May 24, 2019 (GLOBE NEWSWIRE) — The “Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User, and Geography- Global Forecast to 2026” report has been added to ResearchAndMarkets.com’s offering.

The AI in cybersecurity market is projected to reach USD 38.2 billion by 2026 from USD 8.8 billion in 2019, at the highest CAGR of 23.3%

Major drivers for the market’s growth are growing adoption of IoT and increasing number of connected devices, rising instances of cyber threat, growing concerns of data protection, and increasing vulnerability of Wi-Fi networks to security threats. Furthermore, underlying opportunities for the AI in cybersecurity market include growing need for cloud-based security solutions among SMEs and increased use of social media for business functions.

Major restraints for the market are the inability of AI to stop zero-day and advanced threats, and rise in insider cyber threats. Limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in cybersecurity market.

The next generation of cybersecurity products is increasingly incorporating artificial intelligence (AI) and machine learning technologies. By training AI software on large data sets of cybersecurity, network, and physical information, cybersecurity solutions providers aim to detect and block abnormal behavior, even if it does not exhibit a known pattern.

AI software identifies patterns and anomalies pertaining to past events, thereby identifying threats across a firm’s network, both on-premises and in the cloud, to mitigate further attacks. AI also helps companies respond to cybersecurity threats rapidly. Moreover, it is used to monitor unusual networks and user activities and spot new phishing emails.

Further, underlying opportunities for the AI in the cybersecurity market include the growing need for cloud-based security solutions among SMEs and increased use of social media for business functions. Major restraints for the market are the inability of AI to stop zero-day and advanced threats and rise in insider cyber threats. The limited number of cybersecurity and AI professionals, and lack of interoperability with existing information systems pose major challenges to the AI in the cybersecurity market.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights

5 Market Overview
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Growing Adoption of IoT and Increasing Number of Connected Devices
5.2.1.2 Increasing Instances of Cyber Threats
5.2.1.3 Rising Concerns of Data Protection
5.2.1.4 Increasing Vulnerability of Wi-Fi Networks to Security Threats
5.2.2 Restraints
5.2.2.1 Inability of AI to Stop Zero-Day and Advanced Threats
5.2.2.2 Rise in Insider Cyber Threats
5.2.3 Opportunities
5.2.3.1 Growing Need for Cloud-Based Security Solutions Among SMEs
5.2.3.2 Increasing Use of Social Media for Business Functions
5.2.4 Challenges
5.2.4.1 Limited Number of Cybersecurity and AI Professionals
5.2.4.2 Lack of Interoperability With Existing Information Systems
5.3 Regulatory Implications
5.3.1 General Data Protection Regulation
5.3.2 Payment Card Industry Data Security Standard
5.3.3 Health Insurance Portability and Accountability Act
5.3.4 Federal Information Security Management Act
5.3.5 Gramm-Leach-Bliley Act
5.3.6 Sarbanes-Oxley Act
5.3.7 International Organization for Standardization 27001

6 Artificial Intelligence in Cybersecurity Market, By Offering
6.1 Introduction
6.2 Hardware
6.2.1 Processors
6.2.1.1 Mpu
6.2.1.2 GPU
6.2.1.2.1 GPU Expected to Grow at the Highest Rate for AI in Cybersecurity
6.2.1.3 Fpga
6.2.1.4 Asic
6.2.2 Memory
6.2.2.1 Memory to Grow at The Fastest Rate for AI in Cybersecurity
6.2.3 Network
6.3 Software
6.3.1 AI Solutions
6.3.1.1 AI-Based Solutions Hold the Largest Market Share
6.3.2 AI Platform
6.3.2.1 Application Program Interface (API)
6.3.2.2 Machine Learning Framework
6.3.2.2.1 Machine Learning Framework Expected to Grow at A Higher Rate
6.4 Services
6.4.1 Deployment & Integration
6.4.2 Support & Maintenance

7 Artificial Intelligence in Cybersecurity Market, By Deployment Type
7.1 Introduction
7.2 Cloud
7.2.1 Cost-Effectiveness of Cloud-Based Solutions is Driving Its Adoption
7.3 On-Premise
7.3.1 AI-Based Cybersecurity Solution for On-Premise Enable Organizations to Control Platforms, Applications, Systems, and Data

8 Artificial Intelligence in Cybersecurity Market, By Security Type
8.1 Introduction
8.2 Network Security
8.2.1 Helps to Protect Data From Numerous Threats, Including SQL Injection, DDoS Attack, and Cross-Site Scripting Attacks
8.3 Endpoint Security
8.3.1 Endpoint Security Expected to Be the Major Contributors of AI in Cybersecurity Market
8.4 Application Security
8.4.1 Application Security Expected to Grow at Fastest Rate
8.5 Cloud Security
8.5.1 Cloud Security Solution Provides Complete Threat Protection Against Ransomware, Internal Email Risks, and File Sharing Risks Drive Growth in This Segment

9 Artificial Intelligence in Cybersecurity Market, By Technology
9.1 Introduction
9.2 Machine Learning
9.2.1 Deep Learning
9.2.2 Supervised Learning
9.2.3 Unsupervised Learning
9.2.4 Reinforcement Learning
9.2.5 Others
9.3 Natural Language Processing (NLP)
9.4 Context-Aware Computing

10 Artificial Intelligence in Cybersecurity Market, By Application
10.1 Introduction
10.2 Identity and Access Management
10.2.1 Increasing Threat of Data Breaches Due to Insider Attacks is Encouraging Organizations Leads to Adopt Iam Solution
10.3 Risk and Compliance Management
10.3.1 Risk and Compliance Management Expected to Be A Major Contributor to AI Cybersecurity Market
10.4 Data Loss Prevention
10.4.1 Data Loss Prevention Expected to Grow at the Highest Rate
10.5 Unified Threat Management
10.6 Security and Vulnerability Management
10.7 Antivirus/Antimalware
10.7.1 for Endpoint Security Antivirus Expected to Be A Major Contributor
10.8 Fraud Detection/Anti-Fraud
10.9 Intrusion Detection/Prevention System
10.10 Threat Intelligence
10.10.1 Predict Cyber Threats in Advance is the Major Advantage to Drive the Growth of the Threat Intelligence Segment
10.11 Others

11 Artificial Intelligence in Cybersecurity Market, By End User
11.1 Introduction
11.2 BFSI
11.2.1 Increased Instances of Cyber-Attacks in the Financial Vertical Driving the Adoption of AI in Cybersecurity
11.3 Retail
11.3.1 Increasing Adoption of AI in Cybersecurity Due to Expanding Customer Base and Growing Use of High-Tech
11.4 Government & Defense
11.4.1 Increased Spending on AI-Based Cybersecurity Solutions is Expected to Drive the Growth of the Market
11.5 Manufacturing
11.5.1 Huge Investments in Industry for Automation Driving the Market for AI in Cybersecurity
11.6 Infrastructure
11.6.1 Major Focus on Smart Infrastructure Increasing the Adoption of AI in Cybersecurity
11.7 Enterprise
11.7.1 Rapid Technological Advancements in IoT, Cloud, Telecom Connectivity Driving the Demand for AI in Cybersecurity
11.8 Healthcare
11.8.1 Increasing Number of Data Breaches and Compromised Electronic Healthcare Records Driving the Demand for AI in Cybersecurity
11.9 Automotive & Transportation
11.9.1 Increasing Cyberattacks Due to Rising Number of Connected and Autonomous Cars is Driving the Market for AI in Cybersecurity
11.10 Other

12 Geographic Analysis

13 Competitive Landscape
13.1 Overview
13.2 Ranking Analysis of Key Players
13.3 Competitive Situations and Trends
13.4 Competitive Leadership Mapping

14 Company Profiles
14.1 Key Players
14.1.1 NVIDIA
14.1.2 Intel
14.1.3 Xilinx
14.1.4 Samsung Electronics
14.1.5 Micron Technology
14.1.6 IBM
14.1.7 AWS
14.1.8 Darktrace
14.1.9 Cylance
14.1.10 Vectra AI
14.1.11 ThreatMetrix
14.1.12 Securonix
14.1.13 Sift Science
14.1.14 Acalvio Technologies
14.1.15 Sparkcongnition
14.1.16 Palo Alto Network
14.1.17 Fireeye
14.1.18 Symantec
14.1.19 Fortinet
14.1.20 Check Point Software Technologies
14.1.21 Immuniweb
14.2 Other Important Players
14.2.1 Deep Instinct
14.2.2 Sentinelone
14.2.3 Feedzai
14.2.4 Zimperium
14.2.5 Fortscale
14.2.6 Argus Cyber Security
14.2.7 Nozomi Networks
14.2.8 Indegy
14.2.9 Bitsight Technologies
14.3 Antivirus Companies
14.3.1 Mcafee
14.3.2 Kaspersky Lab
14.3.3 Bitdefender
14.3.4 Eset

For more information about this report visit https://www.researchandmarkets.com/r/3juves

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Related Topics: IT Security, Artificial Intelligence 

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